Invention Grant
- Patent Title: User specified keyword spotting using neural network feature extractor
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Application No.: US15345982Application Date: 2016-11-08
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Publication No.: US09754584B2Publication Date: 2017-09-05
- Inventor: Maria Carolina Parada San Martin , Tara N. Sainath , Guoguo Chen
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G01L15/00
- IPC: G01L15/00 ; G10L15/16 ; G10L15/02 ; G06F1/32 ; G06N3/02 ; G10L25/51 ; G10L15/08 ; G10L15/06 ; G10L15/28

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for recognizing keywords using a long short term memory neural network. One of the methods includes receiving, by a device for each of multiple variable length enrollment audio signals, a respective plurality of enrollment feature vectors that represent features of the respective variable length enrollment audio signal, processing each of the plurality of enrollment feature vectors using a long short term memory (LSTM) neural network to generate a respective enrollment LSTM output vector for each enrollment feature vector, and generating, for the respective variable length enrollment audio signal, a template fixed length representation for use in determining whether another audio signal encodes another spoken utterance of the enrollment phrase by combining at most a quantity k of the enrollment LSTM output vectors for the enrollment audio signal.
Public/Granted literature
- US20170076717A1 USER SPECIFIED KEYWORD SPOTTING USING LONG SHORT TERM MEMORY NEURAL NETWORK FEATURE EXTRACTOR Public/Granted day:2017-03-16
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